Laboratory for Intelligent Systems and Analytics
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Our goal is to build robust, interpretable AI systems for real-world deployment in manufacturing and healthcare settings.
We model how complex systems evolve, spread information, and withstand disruptions using advanced network theory.
We optimize modern factories using data-driven decision systems and adaptive manufacturing technologies.
We develop methods for designing supply chains that withstand disruptions while maintaining service quality.
State-of-the-art facilities supporting our research activities
Our lab is equipped with high-performance computing resources, including GPU clusters for deep learning research, distributed computing systems for large-scale data processing, and specialized hardware for real-time analytics.
Our data analytics laboratory provides tools and software for data collection, processing, visualization, and analysis. It supports research in machine learning, statistical modeling, and data mining.
Our smart manufacturing testbed includes miniaturized manufacturing equipment, IoT devices, sensors, and control systems that allow researchers to experiment with new manufacturing paradigms in a controlled environment.
Our collaborative research space is designed to facilitate interaction and knowledge sharing among researchers, with meeting rooms, whiteboards, and presentation equipment for discussions and brainstorming sessions.
Our partnerships with academic institutions, industry, and government agencies